Authors:
- Presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic
- Demonstrates implementation in a modular neural network applied to face recognition and in an edge detector
- Offers a brief introduction to the potential use of the aggregation operators in real-world applications
- Discusses the basic concepts of type-1, interval type-2 and generalized type-2 fuzzy logic
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico
Patricia Melin, Gabriela E. Martinez
Bibliographic Information
Book Title: Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic
Authors: Patricia Melin, Gabriela E. Martinez
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-16416-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-16415-7Published: 08 April 2019
eBook ISBN: 978-3-030-16416-4Published: 28 March 2019
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XIII, 65